Summary
This note gathers the main source inputs already available in the repository for future deep-research expansions. It is meant to help contributors extend the case study without starting from a blank search pass.Why It Matters
Deep research is one of the clearest recurring agent product shapes in this repo. It touches planning, evidence gathering, synthesis, citations, and trust, which makes it useful across case studies, systems pages, and future starter projects.Scope Notes
Included:- the current public case-study page
- the imported Hello-Agents chapter that seeded the rewrite
- the repo strategy note that identified deep research as a flagship topic
- tutorial bootstrapping details
- frontend or modal implementation walkthroughs
- unrelated research-assistant product categories
Source Map
- Deep Research Agents: current repo-native lab page and the best public starting point in this repo.
- Hello-Agents Chapter 14: conceptual source input for the original planning-search-summarize-report loop.
- Global Agent Repository Strategy: strategy note that argued deep research deserved track-level treatment rather than a single imported chapter rewrite.
Synthesis
The stable spine across these materials is consistent:- a planning surface breaks the task into manageable sub-questions
- evidence collection must stay source-aware rather than purely generative
- synthesis quality depends on context control and citation discipline
- trust comes from traceability, not from polished prose alone
Gaps And Follow-up
- Add a curated comparison note for deep-research implementations across more than one framework or product stack.
- Add a second reference note focused on evaluation and trust failures.
- Expand the starter project once the repo wants a runnable research flow.
Update Log
- 2026-04-21: Initial contributor-facing source map.